Dataset Versions
v1
2024-04-19 7:57pm
Generated on Apr 19, 2024
1820 Total Images
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Dataset Split
Train Set 81%
1476Images
Valid Set 10%
176Images
Test Set 9%
168Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -17% and +17%